This post summarizes Aravind Srinivas’s talk at Y Combinator (July 2025) on Perplexity’s strategy, competition, and the future of AI-powered search.
The Big Bet: The Browser
Perplexity’s next major bet is building a browser called Comet. The vision is to create a “cognitive operating system” rather than just another browser.
Key features of the browser vision:
- One omni-box for navigation, informational queries, and agentic tasks
- AI assistant available on every web page as a sidecar
- Launch multiple tasks in parallel running asynchronously
- Integration with personal data: contacts, email, calendar, Amazon, social media
- Research capabilities for real estate, markets, and more
Why a browser?
- Chrome was exciting when each tab was its own process
- Now imagine each query or prompt being its own process
- The browser enables things chatbots cannot: accessing other tabs, browsing history, completing forms, paying credit cards, buying things, doing periodic recurring tasks
Competition and the Innovator’s Dilemma
Aravind acknowledges the competitive landscape but sees structural advantages for startups:
The startup advantage:
- “If something is really worth doing, it’s only natural that people with a lot of funding will go and do it”
- Perplexity was a great product, now everyone is trying to build something that can answer any question with sources
- Cursor was a great product, now OpenAI is trying to buy its competitor, Anthropic launched Claude Code, Google has its own rival tool
Google’s innovator’s dilemma:
- Google had the 4th or 5th best models for much of 2023-2024
- As a startup outside Google, you had access to AI that was better than what Google internally had - unprecedented
- Google can’t give direct answers because it would hurt their ad revenue from Booking, Expedia, Kayak, Amazon, Walmart
- One mistake tanks their stock (remember the Bard demo failure that dropped stock 6%)
- Startups can make mistakes and it’s fine
Why Google struggles:
- Much bigger business, not founder-led anymore
- Hard to take risks
- Great people, but incentive structure makes it hard to do long-term correct things
- Same feature launched year after year with different names, different VPs, different groups - but never launched to everybody
The Perplexity Origin Story
Starting without a clear idea:
- Started the company without actually having a clear idea of what to build (opposite of YC advice)
- In AI’s fast-moving landscape, you don’t have to rigidly stick to any one idea
- But don’t change the idea every week either
The pivot from SQL to search:
- First tool was natural language SQL - searching over relational databases
- Built Twitter search using language models, organizing Twitter data into relational tables
- Realized it’s better to scale across the web with unstructured data
- Bet on language models doing all the reasoning and parsing
Early validation:
- Launched 7 days after ChatGPT launch (when ChatGPT didn’t have web search)
- New Year’s Eve saw close to 700,000 queries
- Despite: crappy name, slow (7 seconds per query), lots of hallucinations, no-name company, $1-2M seed funding
- People were sharing screenshots on New Year’s Eve instead of watching Netflix
The aha moment:
- When Google announced Bard, everyone said “Bard will do whatever you’re doing”
- Realized Google has to build a separate product but can never capitalize on their core distribution
- The thought: “Why do I have to build Bard? Why not just do it on Google where you have all the distribution?”
Running the Company
Team size: About 200 employees
AI coding tools adoption:
- Made it mandatory to use at least one AI coding tool
- Mix of Cursor and GitHub Copilot internally
- ML researchers upload screenshots of pseudo code from papers, ask Cursor to implement algorithms
- Experimentation time reduced from 3-4 days to literally 1 hour
- CEO gives feedback via screenshots with arrows, engineers upload to Cursor to make Swift UI changes
Vibe coding caveats:
- Don’t want to vibe code everything
- Don’t want a vibe coder fixing production infra issues
- Need people well-trained in regular software engineering, infrastructure, distributed systems
- Front-end and design is where tremendous adoption is happening
- AI tools introduce new bugs, and many people don’t know how to fix them
CEO involvement:
- Aravind loves triaging and fixing bugs personally
- “Is that the best use of the time of a CEO?” - Many would think otherwise
- Even Sundar is doing bug support on X now
Competing with OpenAI
ChatGPT is the most successful consumer AI product. Competing against it is very difficult.
The browser strategy:
- Comet browser will be an abstraction layer above chatbots
- Could feed all your ChatGPT chats into the browser AI
- Don’t have to worry about memory or personalization
- Access other tabs, browsing history, complete forms, pay credit cards, buy stuff, do research, periodic recurring tasks
What makes the browser hard to copy:
- Much harder to copy than yet another chat tool
- Building mobile versions will take many months of engineering
- Not worried about someone else copying - it’s going to take time for anybody
Enduring Value and Brand
What protects AI companies:
- Brand has significant value once you acquire millions of paying users
- You earn the right to survive and keep building
- Narrative is very important to brand - communicate why you need to exist
- For Perplexity: focus on accuracy, speed (time to first token), answer presentation
Network effects in AI:
- Brand has network effects (people tell each other)
- But no AI product has within-app network effects like WhatsApp
- You can easily export ChatGPT history and upload elsewhere
- AI doesn’t have the lock-in that messaging apps have
Key Quotes
“You have to innovate. You have to move faster than everybody else. And it’s like running a marathon but at an extremely high velocity.”
“The only mode you have is speed.”
“Google IO last year was AI overview and perplexity is dead. This year was AI mode and perplexity is dead. I read all of that too and it’s always fun. I love it actually.”
“If startups can succeed then it’s going to be monopolies getting bigger and bigger and that’s not great for the world.”
本文总结了 Aravind Srinivas 在 Y Combinator(2025年7月)关于 Perplexity 战略、竞争和 AI 搜索未来的演讲。
重大赌注:浏览器
Perplexity 的下一个重大赌注是构建一个名为 Comet 的浏览器。愿景是创建一个”认知操作系统”,而不仅仅是另一个浏览器。
浏览器愿景的关键特性:
- 一个全能搜索框,用于导航、信息查询和代理任务
- AI 助手作为侧边栏在每个网页上可用
- 并行启动多个异步运行的任务
- 与个人数据集成:联系人、电子邮件、日历、亚马逊、社交媒体
- 房地产、市场等研究能力
为什么是浏览器?
- Chrome 令人兴奋的地方在于每个标签页都是独立进程
- 现在想象每个查询或提示都是独立进程
- 浏览器能做聊天机器人做不到的事:访问其他标签页、浏览历史、填写表单、支付信用卡、购物、执行周期性重复任务
竞争与创新者困境
Aravind 承认竞争格局,但看到了初创公司的结构性优势:
初创公司的优势:
- “如果某件事真的值得做,有大量资金的人自然会去做”
- Perplexity 是一个很棒的产品,现在每个人都在尝试构建能用来源回答任何问题的东西
- Cursor 是一个很棒的产品,现在 OpenAI 试图收购其竞争对手,Anthropic 推出了 Claude Code,Google 有自己的竞争工具
Google 的创新者困境:
- 2023-2024 年大部分时间,Google 的模型只排第四或第五
- 作为 Google 外部的初创公司,你能获得比 Google 内部更好的 AI - 这是前所未有的
- Google 无法给出直接答案,因为这会损害他们从 Booking、Expedia、Kayak、亚马逊、沃尔玛获得的广告收入
- 一个错误就会让股价暴跌(记得 Bard 演示失败导致股价下跌 6%)
- 初创公司可以犯错,没关系
为什么 Google 举步维艰:
- 业务规模大得多,不再是创始人领导
- 难以承担风险
- 有优秀的人才,但激励结构使得难以做长期正确的事情
- 同样的功能年复一年地发布,换不同的名字、不同的副总裁、不同的团队 - 但从未向所有人推出
Perplexity 的起源故事
没有明确想法就开始:
- 在没有明确知道要构建什么的情况下创办了公司(与 YC 建议相反)
- 在 AI 快速发展的环境中,你不必死守任何一个想法
- 但也不要每周都换想法
从 SQL 到搜索的转型:
- 第一个工具是自然语言 SQL - 在关系数据库上搜索
- 使用语言模型构建 Twitter 搜索,将 Twitter 数据组织成关系表
- 意识到最好用非结构化数据扩展到整个网络
- 押注语言模型能完成所有推理和解析
早期验证:
- 在 ChatGPT 发布 7 天后推出(当时 ChatGPT 没有网络搜索)
- 新年前夜有近 70 万次查询
- 尽管:名字很烂、很慢(每次查询 7 秒)、大量幻觉、无名公司、100-200 万美元种子资金
- 人们在新年前夜分享截图,而不是看 Netflix
顿悟时刻:
- 当 Google 宣布 Bard 时,每个人都说”Bard 会做你正在做的事”
- 意识到 Google 必须构建一个独立产品,但永远无法利用其核心分发优势
- 想法:“为什么我要构建 Bard?为什么不直接在 Google 上做,那里有所有的分发渠道?“
公司运营
团队规模: 约 200 名员工
AI 编码工具采用:
- 强制要求使用至少一个 AI 编码工具
- 内部混合使用 Cursor 和 GitHub Copilot
- ML 研究人员上传论文中伪代码的截图,让 Cursor 实现算法
- 实验时间从 3-4 天减少到 1 小时
- CEO 通过带箭头的截图给反馈,工程师上传到 Cursor 进行 Swift UI 更改
Vibe coding 的注意事项:
- 不想对所有东西都 vibe code
- 不想让 vibe coder 修复生产环境的基础设施问题
- 需要在常规软件工程、基础设施、分布式系统方面训练有素的人
- 前端和设计是采用率最高的领域
- AI 工具会引入新的 bug,很多人不知道如何修复
CEO 的参与:
- Aravind 喜欢亲自分类和修复 bug
- “这是 CEO 时间的最佳利用吗?” - 很多人会持不同意见
- 甚至 Sundar 现在也在 X 上做 bug 支持
与 OpenAI 竞争
ChatGPT 是最成功的消费者 AI 产品。与之竞争非常困难。
浏览器策略:
- Comet 浏览器将是聊天机器人之上的抽象层
- 可以将所有 ChatGPT 聊天记录输入浏览器 AI
- 不必担心记忆或个性化
- 访问其他标签页、浏览历史、填写表单、支付信用卡、购物、做研究、周期性重复任务
为什么浏览器难以复制:
- 比又一个聊天工具难复制得多
- 构建移动版本需要数月的工程时间
- 不担心别人复制 - 任何人都需要时间
持久价值与品牌
什么保护 AI 公司:
- 一旦获得数百万付费用户,品牌就有重要价值
- 你赢得了生存和继续构建的权利
- 叙事对品牌非常重要 - 传达你为什么需要存在
- 对于 Perplexity:专注于准确性、速度(首个 token 的时间)、答案呈现
AI 中的网络效应:
- 品牌有网络效应(人们互相推荐)
- 但没有 AI 产品有像 WhatsApp 那样的应用内网络效应
- 你可以轻松导出 ChatGPT 历史并上传到其他地方
- AI 没有消息应用那样的锁定效应
关键语录
“你必须创新。你必须比其他人更快。这就像以极高的速度跑马拉松。”
“你唯一的模式就是速度。”
“去年 Google IO 是 AI 概览,说 Perplexity 死了。今年是 AI 模式,说 Perplexity 死了。我也读了所有这些,总是很有趣。我其实很喜欢。”
“如果初创公司能成功,那么垄断企业只会越来越大,这对世界不是好事。”